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Dynamic Upsampling of Smoke through Dictionary-based Learning

Dynamic Upsampling of Smoke through Dictionary-based Learning

ACM Transactions on Graphics (TOG), 2019
21 October 2019
Kai-Yi Bai
Wei Li
M. Desbrun
Xiaopei Liu
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Dynamic Upsampling of Smoke through Dictionary-based Learning"

19 / 19 papers shown
Title
WildSmoke: Ready-to-Use Dynamic 3D Smoke Assets from a Single Video in the Wild
WildSmoke: Ready-to-Use Dynamic 3D Smoke Assets from a Single Video in the Wild
Yuqiu Liu
Jialin Song
Manolis Savva
Wuyang Chen
VGen
68
0
0
14 Sep 2025
Downscaling Neural Network for Coastal Simulations
Downscaling Neural Network for Coastal Simulations
Zhi-Song Liu
Markus Buttner
V. Aizinger
Andreas Rupp
SupR
263
0
0
29 Aug 2024
Efficient Generation of Multimodal Fluid Simulation Data
Efficient Generation of Multimodal Fluid Simulation Data
Daniele Baieri
Donato Crisostomi
Stefano Esposito
Filippo Maggioli
Emanuele Rodolà
DiffM
192
0
0
30 Oct 2023
Fluid Dynamics Network: Topology-Agnostic 4D Reconstruction via Fluid
  Dynamics Priors
Fluid Dynamics Network: Topology-Agnostic 4D Reconstruction via Fluid Dynamics Priors
Daniele Baieri
Stefano Esposito
Filippo Maggioli
Emanuele Rodolà
AI4CE
149
6
0
17 Mar 2023
CIMS: Correction-Interpolation Method for Smoke Simulation
CIMS: Correction-Interpolation Method for Smoke Simulation
Yun-Hwa Lee
Dohae Lee
Young-Jin Oh
In-Kwon Lee
131
0
0
28 Dec 2022
Exploring Physical Latent Spaces for High-Resolution Flow Restoration
Exploring Physical Latent Spaces for High-Resolution Flow RestorationInternational Symposium on Vision, Modeling, and Visualization (VMV), 2022
Chloé Paliard
Nils Thuerey
Kiwon Um
AI4CE
196
1
0
21 Nov 2022
Wavelet-based Loss for High-frequency Interface Dynamics
Wavelet-based Loss for High-frequency Interface Dynamics
L. Prantl
Jan Bender
Tassilo Kugelstadt
Nils Thuerey
GAN
263
1
0
06 Sep 2022
Physics-informed Deep Super-resolution for Spatiotemporal Data
Physics-informed Deep Super-resolution for Spatiotemporal Data
Pu Ren
Chengping Rao
Yang Liu
Zihan Ma
Qi Wang
Jianxin Wang
Hao Sun
236
14
0
02 Aug 2022
Rotationally Equivariant Super-Resolution of Velocity Fields in
  Two-Dimensional Fluids Using Convolutional Neural Networks
Rotationally Equivariant Super-Resolution of Velocity Fields in Two-Dimensional Fluids Using Convolutional Neural NetworksAPL Machine Learning (AML), 2022
Y. Yasuda
R. Onishi
280
7
0
22 Feb 2022
GPU Optimization for High-Quality Kinetic Fluid Simulation
GPU Optimization for High-Quality Kinetic Fluid SimulationIEEE Transactions on Visualization and Computer Graphics (TVCG), 2021
Yixin Chen
Wei Li
Rui Fan
Xiaopei Liu
135
28
0
28 Jan 2021
A Multi-Pass GAN for Fluid Flow Super-Resolution
A Multi-Pass GAN for Fluid Flow Super-Resolution
Maximilian Werhahn
You Xie
Mengyu Chu
Nils Thuerey
AI4CE
145
64
0
04 Jun 2019
Continuous-Scale Kinetic Fluid Simulation
Continuous-Scale Kinetic Fluid SimulationIEEE Transactions on Visualization and Computer Graphics (TVCG), 2018
Wei Li
Kai-Yi Bai
Xiaopei Liu
AI4CE
97
22
0
06 Jul 2018
Deep Fluids: A Generative Network for Parameterized Fluid Simulations
Deep Fluids: A Generative Network for Parameterized Fluid Simulations
Byungsoo Kim
Vinicius Azevedo
N. Thürey
Theodore Kim
Markus Gross
B. Solenthaler
GAN
159
411
0
06 Jun 2018
Latent-space Physics: Towards Learning the Temporal Evolution of Fluid
  Flow
Latent-space Physics: Towards Learning the Temporal Evolution of Fluid Flow
S. Wiewel
M. Becher
N. Thürey
AI4CE
237
296
0
27 Feb 2018
Convolutional Dictionary Learning: A Comparative Review and New
  Algorithms
Convolutional Dictionary Learning: A Comparative Review and New Algorithms
Cristina Garcia-Cardona
B. Wohlberg
948
193
0
09 Sep 2017
Liquid Splash Modeling with Neural Networks
Liquid Splash Modeling with Neural Networks
Kiwon Um
Xiangyu Y. Hu
N. Thürey
199
93
0
14 Apr 2017
Accelerating Eulerian Fluid Simulation With Convolutional Networks
Accelerating Eulerian Fluid Simulation With Convolutional NetworksInternational Conference on Machine Learning (ICML), 2016
Jonathan Tompson
Kristofer Schlachter
Pablo Sprechmann
Ken Perlin
401
586
0
13 Jul 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNNAI4CE
897
18,978
0
27 May 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic OptimizationInternational Conference on Learning Representations (ICLR), 2014
Diederik P. Kingma
Jimmy Ba
ODL
4.4K
160,262
0
22 Dec 2014
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